Semiparametric Regression in Capture-Recapture Modeling

DOI10.1111/j.1541-0420.2005.00514.xzbMath1112.62126OpenAlexW2156996046WikidataQ39134745 ScholiaQ39134745MaRDI QIDQ3436505

S. Jenouvrier, Olivier Gimenez, C. Barbraud, Ciprian M. Crainiceanu, Byron J. T. Morgan

Publication date: 11 May 2007

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2005.00514.x

zbMATH Keywords

penalized splinesauxiliary variablesWinBUGSdemographic ratesenvironmental covariates

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12)

Related Items (15)

Accounting for contamination and outliers in covariates for open population capture-recapture models ⋮ Estimation of survival and capture probabilities in open population capture-recapture models when covariates are subject to measurement error ⋮ Maximum likelihood estimation of mark-recapture-recovery models in the presence of continuous covariates ⋮ Bayesian analysis of mark-recapture data with travel time-dependent survival probabilities ⋮ Semiparametric regression during 2003--2007 ⋮ A threshold model for heron productivity ⋮ A Bayesian semiparametric Jolly-Seber model with individual heterogeneity: an application to migratory mallards at stopover ⋮ Estimating population size of heterogeneous populations with large data sets and a large number of parameters ⋮ Semiparametric geographically weighted response curves with application to site-specific agriculture ⋮ Maximum penalized likelihood estimation in semiparametric mark-recapture-recovery models ⋮ Smoothing Population Size Estimates for Time-Stratified Mark-Recapture Experiments Using Bayesian P-Splines ⋮ Bayesian Capture-Recapture Analysis: An Application in Modeling Semelparity of a Neotropical Didelphid Marsupial ⋮ Semiparametric inference for open populations using the Jolly–Seber model: a penalized spline approach ⋮ A generic method for estimating and smoothing multispecies biodiversity indicators using intermittent data ⋮ Cormack-Jolly-Seber model with environmental covariates: A P-spline approach

Uses Software

• WinBUGS
• SemiPar

Cites Work

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• Simple Incorporation of Interactions into Additive Models
• The Analysis of Ring-Recovery Data Using Random Effects
• Autoregressive Models for Capture-Recapture Data: A Bayesian Approach
• Capture-Recapture Survival Models Taking Account of Transients
• Semiparametric Regression
• Bayesian Inference for Small‐Sample Capture‐Recapture Data
• Bayesian Measures of Model Complexity and Fit
• The use of auxiliary variables in capture-recapture modelling: An overview
• Evaluation of some random effects methodology applicable to bird ringing data
• Explicit estimates from capture-recapture data with both death and immigration-stochastic model
• A note on the multiple-recapture census
• Estimates of survival from the sighting of marked animals

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